Optimal Location and Sizing of Solar Farm on Japan East Power System Using Multiobjective Bees Algorithm Prakornchai Phonrattanasak Department of Electrical Engineering North Eastern University Khonkaen, Thailand tumneu@live.com Masafumi Miyatake Orie Sakamoto Department of Electrical Engineering Sophia University Tokyo, Japan miyatake@sophia.ac.jp, orie-sakamoto@sophia.ac.jp Abstract — Nowadays some nuclear power plant in Japan is shut down due to problem of security in earthquake disaster. Consequently, Japan will encounter a lack of electrical energy in the future if new electrical generation is not constructed. Solar energy is one of appropriate renewable energy for Japan. Solar panel produces electrical energy by using the natural solar radiation from sun. PV Solar farm consists of multiple components, including the photovoltaic modules, mechanical and electrical connections. PV solar farm with grid-connected can directly connect to the existing electricity grid by using inverter circuit toward transformer. In this paper, PV solar farm is utilized as a power generation which injects active power into a Japan east power system. An optimal location and sizing of solar farm by using multiobjective Bees optimization (MBO) is proposed to minimize fuel and emission costs of overall system with considering solar radiation energy in each area. The results show that the proposed method found the optimal position of solar farm with minimum cost of fuel and environmental pollution. Index Terms—Power system, Optimization, Bees algorithm, PV solar and Japan power system. I. INTRODUCTION PV solar farm is a system which uses many solar modules to convert sunlight into electricity. It consists of multiple components, including the photovoltaic modules, mechanical and electrical connections. Solar power has become popular renewable energy due to reducing of in-vestment cost. The advantages of solar power are very low environmental impact as well as very low operation and variable cost. One of the main advantages of a solar power system is the lack of pollution given off by solar panels when generating electricity. Another advantage of solar power in economic is very low variable cost. When solar farm is built to generate electricity, it can produce more electricity power into power system during daytime. Moreover; solar energy system operations do not generate air or water emissions pollutant and do not produce hazardous waste like coal, oil, or gas [1] and have very low risk from earthquake such as nuclear power plant. Japan east power system comprise of three electric companies as Tokyo Electric Power Company, Tohoku Electric Power Company and Hokkaido Electric Power Company. The frequency of electric current is 50 Hertz. Integration of solar energy in power system is studied to find utilization of an existing solar farm [2]. But the result of solar farm in economic and environment benefit with considering solar radiation is not still developed. The goal of this paper is to find best location and sizing of solar farm in power system with minimum fuel cost and emission in Japan east power system with many real constraints and considering solar radiation of each area. The multiobjective bees algorithm is developed to find minimum fuel cost and emission when the solar farm varies in its location and sizing on Japan east power sys-tem. The result show that the best location and sizing of solar farm with minimum fuel cost and emission in system. II. PROBLE FORMULATION The objective of environmental/economic power dispatch with varying location and sizing of Solar farm is to minimize the economic and environmental cost function of Japan east power system while satisfying various equality and inequality constrains with considering solar radiation. A. Objective Objective1: Minimization of generator cost The total Yen/h fuel cost can be expressed as 2 1 1 ( , ) S N N Gi Si i i Gi i Gi i Si i i fP P a bP cP dP         (1) where , , i i i abc and i d are the cost coefficients of the th i