Abstract
In Pakistan, hydroelectric power is one of the reliable sources of electricity with a capacity of 8,713 MW, which is 29% of the total energy mix. Hence, with such a vast resource capacity of hydroelectric power, its optimization and dispatch planning will have a great significance. This research work discusses the importance of hydroelectric power generation planning for both storage and run-of-river (ROR) hydropower plants, as well a; a solver-based optimization technique is proposed for the first time to resolve the intricate job of generation planning for hydroelectric power plants in MATLAB. A mathematical-optimization model is also developed, which uses a Mixed-Integer Linear-Programming (MILP) algorithm, based on the objective function of profit maximization, which considers a random varying revenue plan as model input. Three hydropower generators of different capacities and efficiencies are considered for the optimization problem. MILP based solution is proposed for both storage and ROR hydropower plants with two dispatch schedules, i.e., Normal dispatch schedule and optimum dispatch schedule. The objective functions are solved, and the profit (in dollars) from each dispatch schedule is calculated and compared. The preliminary optimization results show an increase of $22,000 and $29,130 in the profit for storage and ROR hydropower plants, respectively, which is 19% more than average income. Hence, ensuring the credibility of the proposed algorithm for maximizing the revenue ($), is aimed to facilitate and assist better planning for electric power producers.
Highlights
Electricity is the basic need of today’s life in almost every field of life
We proposed mixed-integer linear programming (MILP) for the first time based on the realtime data of Neelam Jhelum Power Plant
MIXED INTEGER INEAR PROGRAMMING (MILP) SOLUTION FOR ROR POWER PLANT Based on the energy revenue price ($/Mwh) form the electrical market, the resource capacity parameters and the efficiency of the generators, the optimum solution is found by solving the objective function through MILP approach
Summary
Electricity is the basic need of today’s life in almost every field of life. It is traded in the same way as other commodities in the deregulated energy market. Uncertainty of available water heads in the dam project and the uncertainty due to the changing water discharge in (Run of river) ROR projects Such variabilities and uncertainties of supplies must be mitigated before integrating the system to the national grid; otherwise, the resulting unbalance between the generation and demand can cause serious reliability problems, which lead to the full system shutdown or blackouts. The hydroelectric power generation planning and optimization need a detailed mathematical model to analyze and assess the complexities of the integrated power systems. An optimal and efficient power transmission and distribution planning is required to supply reliable power to the demand customers. MILP based solution is proposed for the PSOs to monitor and dispatch the hydroelectric generators optimally and maximize the objective function of profit for the proposed storage and ROR setups. While Part-IV contains results, which is followed by discussion and conclusion
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