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SOC curves of the energy storage system. To sum up, the control strategy proposed in this paper (Method 4) could achieve good frequency regulation performance. At the same time, the control strategy could keep the SOC in a reasonable range, which was of great significance to improve the cycle life of ESS and reduce the operation cost.
Control Strategy of Energy Storage System Participating in Primary Frequency Regulation The virtual droop control and the virtual inertial control are two typical control methods for ESS participating in the primary frequency regulation. It is of practical value to study the effect of these methods on power systems.
In order to solve the capacity shortage problem in power system frequency regulation caused by large-scale integration of renewable energy, the battery energy storage-assisted frequency regulation is introduced. In this paper, an adaptive control strategy for primary frequency regulation of the energy storage system (ESS) was proposed.
In this paper, an adaptive control strategy for primary frequency regulation of the energy storage system (ESS) was proposed. The control strategy combined virtual droop control, virtual inertial control, and virtual negative inertial control.
The bidding strategy of energy storage power station formulated in most papers relies on the day-ahead predicted price and regulation demand, and the effectiveness of the bidding strategy is based on the premise that day-ahead forecast is accurate [9, 10, 11].
This is because according to the frequency regulation market mechanism, the minimum frequency regulation capacity allowed to be declared by each power station is 1 MW. The BESS A only declared 14 MW frequency regulation capacity and left 1 MW capacity for other BESSs to win the bidding.
Moreover, the control strategy in reference refers to a hierarchical control of battery energy storage system (BESS) that has two sub-BESSs with the same capacity and power, and only one sub-BESS is charged or discharged at a time. Table 9. Fuzzy logic rules of ESS.
Cost-benefit analysis of distributed power system considering voltage regulation and peak load shaving is proposed for distributed BESS with high PV penetration, which can efficiently optimize the scale of distributed power system .
Another issue of the Cameroon power system is the absence of energy efficiency or demand side measures, which guarantees a safe, reliable and affordable option to reducing emissions and demand according to International Renewable Energy Agency (IRENA) .
The national electricity access rate in Cameroon is 70% (IEA, 2020b) and has grown considerably compared to the previous years due to a series of projects such as the newly constructed Memve'ele hydroelectric station, the recuperation of the Limbe power plant, and the implementation of some solar photovoltaic (PV) projects.
Three scenarios are developed, and the allocation of power generators to meet the electricity demand at a particular time is based on the 25% renewable energy target in the Cameroon NDCs by 2035, the GDP, the load duration curve, and the mean plant capacity factor which are entirely stated exogenously.
This projected 5.9 GW capacity savings is more than the total anticipated hydropower capacity in the Energy Sector Development Project (PDSEN) of the Cameroon's Ministry of Energy and Water Resources .
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